关注
Dao My Ha
Dao My Ha
Scientist, Institute of High Performance Computing, A*STAR
在 ihpc.a-star.edu.sg 的电子邮件经过验证
标题
引用次数
引用次数
年份
Tsunami propagation modelling–a sensitivity study
MH Dao, P Tkalich
Natural Hazards and Earth System Sciences 7 (6), 741-754, 2007
1592007
CAN-PINN: A fast physics-informed neural network based on coupled-automatic–numerical differentiation method
PH Chiu, JC Wong, C Ooi, MH Dao, YS Ong
Computer Methods in Applied Mechanics and Engineering 395, 114909, 2022
1582022
Tsunami propagation scenarios in the South China Sea
MH Dao, P Tkalich, ES Chan, K Megawati
Journal of Asian Earth Sciences 36 (1), 67-73, 2009
602009
Artificial neural network for tsunami forecasting
M Romano, SY Liong, MT Vu, P Zemskyy, CD Doan, MH Dao, P Tkalich
Journal of Asian Earth Sciences 36 (1), 29-37, 2009
532009
Simulations of laser assisted additive manufacturing by smoothed particle hydrodynamics
MH Dao, J Lou
Computer Methods in Applied Mechanics and Engineering 373, 113491, 2021
512021
Real-time optimization using proper orthogonal decomposition: Free surface shape prediction due to underwater bubble dynamics
D My-Ha, KM Lim, BC Khoo, K Willcox
Computers & fluids 36 (3), 499-512, 2007
452007
Modelling of tsunami-like wave run-up, breaking and impact on a vertical wall by SPH method
MH Dao, H Xu, ES Chan, P Tkalich
Natural Hazards and Earth System Sciences 13 (12), 3457-3467, 2013
332013
Numerical modelling of extreme waves by Smoothed Particle Hydrodynamics
MH Dao, H Xu, ES Chan, P Tkalich
Natural Hazards and Earth System Sciences 11 (2), 419-429, 2011
272011
Modelling physical wave tank with flap paddle and porous beach in OpenFOAM
MH Dao, LW Chew, Y Zhang
Ocean Engineering 154, 204-215, 2018
252018
Modeling transient fluid simulations with proper orthogonal decomposition and machine learning
C Ooi, QT Le, MH Dao, VB Nguyen, HH Nguyen, T Ba
International Journal for Numerical Methods in Fluids 93 (2), 396-410, 2021
232021
Tsunami forecasting using proper orthogonal decomposition method
D My Ha, P Tkalich, ES Chan
Journal of Geophysical Research: Oceans 113 (C6), 2008
222008
A part-scale, feature-based surrogate model for residual stresses in the laser powder bed fusion process
G Dong, JC Wong, L Lestandi, J Mikula, G Vastola, MH Jhon, MH Dao, ...
Journal of Materials Processing Technology 304, 117541, 2022
212022
Reassessment of the cell surface area limitation to nutrient uptake in phytoplankton
MH Dao
Marine Ecology Progress Series 489, 87-92, 2013
202013
Digital twining of an offshore wind turbine on a monopile using reduced-order modelling approach
X Zhao, MH Dao, QT Le
Renewable Energy 206, 531-551, 2023
162023
Fusing sensor data with CFD results using gappy POD
X Xing, MH Dao, B Zhang, J Lou, WS Tan, Y Cui, BC Khoo
Ocean Engineering 246, 110549, 2022
162022
Improved surrogate modeling of fluid dynamics with physics-informed neural networks
JC Wong, C Ooi, PH Chiu, MH Dao
arXiv preprint arXiv:2105.01838, 2021
132021
Tsunami propagation modeling and forecasting for early warning system
P Tkalich, MYHA DAO, ENGS CHAN
Journal of Earthquake and Tsunami 1 (01), 87-98, 2007
132007
Case study of phytoplankton blooms in Serangoon Harbor of Singapore
BH Ooi, H Zheng, KP Yue, H Kurniawati, P Sundarambal, MH Dao, ...
OCEANS'10 IEEE SYDNEY, 1-6, 2010
112010
Multi-vehicle oceanographic feature exploration
BH Ooi, H Zheng, H Kurniawati, W Cho, NM Patrikalakis, MH Dao, ...
ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-09-501, 2009
112009
Graph neural network based surrogate model of physics simulations for geometry design
JC Wong, CC Ooi, J Chattoraj, L Lestandi, G Dong, U Kizhakkinan, ...
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1469-1475, 2022
82022
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